Deputy General Manager - Crash Analysis

13 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

Who We Are SRDI is a 100% subsidiary of Suzuki Motor Corporation, Japan, a leading global player in the automotive domain. SRDI is architecting a transformative future by pioneering cutting-edge technologies to reshape a safer, more efficient, and sustainable mobility landscape. At Our Innovation Hub: Talent Meets Tomorrow's Mobility We are looking for top talent like you to join our transformative journey. Whether you are an engineer, programmer, or strategist, SRDI offers a dynamic environment that fosters personal and professional growth. Together, we will redefine the future of automotive technology, where innovation seamlessly meets sustainability. Division: Engineering Department: Crash Analysis Job Location: Pune, India Designation: Deputy General Manager Educational Qualification: B.Tech/ M.Tech (Automobile / Mechanical / Electronics / Mechatronics) from a Tier-1institute. Work Experience: Minimum: 13 years Maximum: 15 years More than 5 years’ experience working on automobile crash CAE at automotive OEM, engineering company, or software vendor. (With more than 5 years of experience using FEM software (LS-DYNA/PAM-CRASH) Job Responsibilities: To develop crash safety performance of automobiles using CAE. Conduct crash analysis using a vehicle FEM model, analyze the results, prepare reports, and provide feedback to model development. To evaluate crash safety performance, we will develop technologies: -that Suzuki currently lacks. -Specific details of technological development We will improve CAE models and develop new analysis methods to improve the prediction accuracy of vehicle body deformation, deceleration, damage to high-voltage components (batteries, motors, etc.) and functional components (door latches, seats, etc.), and occupant injury values at the time of the crash. Development of restraint systems (DAB, PAB, SAB, CAB) Establishment of CAE result analysis method using AI - AI learns past SMC data and outputs predicted results - Use Generated AI to create training data for AI use (reinforce past data) We will use CAE to study a highly robust vehicle body structure that does not change in deformation characteristics or deformation points in order to achieve stable performance and provide feedback to the platform. Tentative 3 months to 1 year of deputation/training in Suzuki Motor Corporation, Japan Software Knowledge: LS-DYNA or PAM-CRASH (Mandatory), Key Skills/Competencies: Knowledge of material mechanics, structural mechanics, and biomechanics Statistical knowledge for data analysis, Experience using AI and machine learning, Japanese conversation ability Ambitious and actively take on the challenge of improving your skills while valuing teamwork. Development experience in automotive OEM. Conflict Management Decision Making Change Management Team Management Strategic Thinking Knowledge of Japanese Language preferred Cross Cultural work sensitivity Show more Show less

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